At a Glance
- Tasks: Lead the development of ML systems for optimising electricity pricing.
- Company: Join tem, a forward-thinking company revolutionising energy pricing.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team shaping the future of energy pricing.
- Why this job: Make a real impact on pricing strategies and drive business growth.
- Qualifications: Expertise in machine learning and strong collaboration skills required.
The predicted salary is between 70000 - 90000 £ per year.
tem is seeking a Senior Staff Machine Learning Engineer to lead pricing ML for Rosso, its core infrastructure for pricing electricity. In this senior individual contributor role, you will focus on building ML systems for price optimisation.
The role involves significant technical leadership and collaboration with software engineers and other MLEs, requiring a deep knowledge of ML systems and a proactive mindset to navigate ambiguity.
This position offers a unique opportunity to impact the pricing strategy while contributing to the growth of tem's business in the UK and beyond.
Senior Pricing ML Engineer - Growth Engine Lead in London employer: tem
At tem, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. As a Senior Pricing ML Engineer, you will not only lead cutting-edge projects in machine learning but also benefit from extensive professional development opportunities and a supportive environment that values your contributions. Located in the UK, our team is dedicated to driving impactful change in the energy sector, making this an exciting place for those seeking meaningful and rewarding employment.
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We think this is how you could land Senior Pricing ML Engineer - Growth Engine Lead in London
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We think you need these skills to ace Senior Pricing ML Engineer - Growth Engine Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at tem. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at tem
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
